Principal AI Scientist & Director/Founder of Machine Programming Research (Intel Labs)
Principal Investigator and Founder of the upcoming Intel/NSF Machine Programming Research Center
Steering Committee Chair, ACM SIGPLAN Machine Programming Symposium (MAPS)
Chair of Industrial Board and Executive Director at PRECISE, University of Pennsylvania
My Machine Programming & Technology YouTube Channel (subscribe & stay updated)
Keynote at LADSIOS (co-located with VLDB '21): "Machine Programming and the Future of Software Development"
New demo of one of our production quality MP systems: AutoPerf
Our team, joint w/ MIT & Microsoft, won two awards at SIGMOD '21!
Keynote @ Penn's PRECISE 2019 Industry Day: "Machine Programming: The Future of Autonomy"
Roshni Iyer (advised by Yizhou Sun and Wei Wang @ UCLA)
Ramneet Kaur (co-advised with Insup Lee @ Penn)
ICLR'22, PLDI'22, CGO'21, NeurIPS'21, AIDB'21, PACT'21, FSE'21, OOPSLA'21, MAPS'21 (SC chair), ICML'21, USENIX ATC'21, ICLR'21, MLSys'21, NeurIPS'20, MAPL'20 (SC chair), JPDC'20, aiDM '20, TheWebConf'20, MLSys'20, PACT'19 (SRC), SysML'19, MAPL'18 (general chair)
Brief Biographical Sketch
I founded and lead the Machine Programming Research group at Intel Labs. Machine programming (MP) is a new field of research that uses automation to reduce the temporal constraints of software development (e.g., the time it takes a developer to write, maintain, and test code) and improve software quality characteristics (e.g., performance, correctness, security, maintainability, etc.). We generally consider MP as a fusion of machine learning and formal methods, which rely heavily on programming languages and systems. We provide a brief overview of MP in our “Three Pillars of Machine Programming” vision paper (see Armando Solar-Lezama's website for a deeper dive). In academia, I have appointments as the industrial advisory board chair and executive director for the PRECISE Center at the University of Pennsylvania (Penn). I am also an adjunct assistant professor at Penn in the Computer and Information Science Department.
I have a deep desire to build bridges with thought leaders across industry and academia to identify disruptive research and push it forward as a community. Recently I have been working with Amazon, Brown, Georgia Tech, Google AI, Hebrew University, IBM Research, Microsoft Research, MIT, Penn, Stanford, Texas A&M, UC-Berkeley, and UCLA, to name a few. I co-founded and was the principal investigator of the joint Intel/NSF CAPA research center which focuses on simplifying the software programmability challenge for heterogeneous hardware. I am the founder and principal investigator of the upcoming Intel Machine Programming Research Center (launching in 2022). I helped form the ACM SIGPLAN Machine Programming Symposium (MAPS) and currently serve as its steering committee chair. I have the honor of serving on the advisory board of Solar-Lezama et al.’s 2020 NSF Expeditions “Understanding the World Through Code” and Inteon, a machine programming venture fully-funded by Intel.
I have 40+ peer reviewed papers, 50+ issued patents, and 100+ patents pending. I've been lucky enough to have been invited to give talks at places like Berkeley, BMW, DARPA, IBM Research, MIT, Penn, Stanford, UCLA, University of Washington, VMWare, and Wharton, amongst others. I've had the tremendous honor to give keynote addresses at places like VLDB (LADSIOS), University of Pennsylvania, the US Department of Energy, and MIT. My team's research has been highlighted by venues like The Wall Street Journal, DeepLearning.ai, Communications of the ACM, MIT Technology Review, The New York Times, and many others.
Keynote address at LADSIOS (co-located with VLDB '21): "Machine Programming and the Future of Software Development"
[Milestone] 50th patent issued: "Methods and apparatus to detect side-channel attacks"
49th patent issued: "Methods and apparatus to automatically generate code for graphical user interfaces"
48th patent issued:: "Efficient sharing and compression expansion of data across processing systems"
Our team, Machine Programming Research (MPR), won two awards at SIGMOD '21!
Accepted to the KDD Workshop on Programming Language Processing: "A Survey on Semantic Parsing for Machine Programming"
47th patent issued: "Methods and apparatus to improve utilization of a heterogeneous system executing software" (11,036,477)
46th patent issued: "Methods and apparatus to validate data communicated by a vehicle" (11,024,180)
45th patent issued: "Methods and apparatus for recommending computer program updates utilizing a trained model" (11,003,444)
Accepted to the 2021 ACM SIGPLAN Machine Programming Symposium (MAPS): "ControlFlag: A Self-Supervised Idiosyncratic Pattern Detection System for Software Control Structures"
Accepted to the 2021 ACM SIGPLAN Machine Programming Symposium (MAPS): "Predictive Locality Optimization for Higher-Order Tensor Computations"
Accepted to 2021 GECCO Workshop on Evolutionary Computation Software Systems (EvoSoft): "AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms"
44th patent issued: "Extend GPU/CPU coherency to multi-GPU cores" (10,956,330)
43rd patent issued: "Methods and apparatus to detect memory leaks in computing systems" (10,956,298)
42nd patent issued: "Neural network optimization mechanism" (10,929,749)
41st patent issued: "Methods and apparatus for runtime multi-scheduling of software executing on a heterogeneous system" (10,908,884)
Upcoming keynote address @ MIT's DSAIL 2021 virtual retreat: "A Glimpse Into Machine Programming @ Intel Labs"
40th patent issued: "Compute optimization for deep neural networks" (10,902,547)
39th patent issued: "Coordination and increased utilization of graphics processors during inference" (10,891,707)
A video on our ControlFlag system
38th patent issued: "Systems and methods for determining a configuration of a microarchitecture" (10,853,554)
MS advisor (University of Pennsylvania): Brad MacDonald -> Tesla
MS co-advisor (University of Pennsylvania): Celine Lee -> Intel Labs, then PhD student @ Cornell
PhD committee member (Lehigh University): PanteA Zardoshti -> Microsoft Research
PhD committee member (University of Washington): Maaz Ahmad -> Adobe Research